Utilizing atlas-based modeling to predict knee joint cartilage degeneration: data from the osteoarthritis initiative

ME Mononen, MK Liukkonen, RK Korhonen - Annals of biomedical …, 2019 - Springer
Currently, there are no clinically available tools or applications which could predict
osteoarthritis development. Some computational models have been presented to simulate …

A novel method to simulate the progression of collagen degeneration of cartilage in the knee: data from the osteoarthritis initiative

ME Mononen, P Tanska, H Isaksson, RK Korhonen - Scientific reports, 2016 - nature.com
We present a novel algorithm combined with computational modeling to simulate the
development of knee osteoarthritis. The degeneration algorithm was based on excessive …

Atlas‐based knee cartilage assessment

J Carballido‐Gamio, S Majumdar - Magnetic resonance in …, 2011 - Wiley Online Library
Magnetic resonance imaging analysis of knee cartilage properties at corresponding
anatomic locations could be a valuable tool in studies of knee osteoarthritis by enabling …

Atlas-based finite element analyses with simpler constitutive models predict personalized progression of knee osteoarthritis: data from the osteoarthritis initiative

ME Mononen, A Paz, MK Liukkonen, MJ Turunen - Scientific Reports, 2023 - nature.com
New technologies are required to support a radical shift towards preventive healthcare. Here
we focus on evaluating the possibility of finite element (FE) analysis-aided prevention of …

Towards a transferable modeling method of the knee to distinguish between future healthy joints from osteoarthritic joints: data from the osteoarthritis initiative

A Paz, JJ García, RK Korhonen… - Annals of Biomedical …, 2023 - Springer
Computational models can be used to predict the onset and progression of knee
osteoarthritis. Ensuring the transferability of these approaches among computational …

Simulation of subject-specific progression of knee osteoarthritis and comparison to experimental follow-up data: data from the osteoarthritis initiative

MK Liukkonen, ME Mononen, O Klets, JP Arokoski… - Scientific reports, 2017 - nature.com
Economic costs of osteoarthritis (OA) are considerable. However, there are no clinical tools
to predict the progression of OA or guide patients to a correct treatment for preventing OA …

Computer-aided method for quantification of cartilage thickness and volume changes using MRI: validation study using a synthetic model

C Kauffmann, P Gravel, B Godbout… - IEEE transactions on …, 2003 - ieeexplore.ieee.org
The primary objective of this study was to develop a computer-aided method for the
quantification of three-dimensional (3-D) cartilage changes over time in knees with …

Rapid CT-based estimation of articular cartilage biomechanics in the knee joint without cartilage segmentation

A Mohammadi, KAH Myller, P Tanska… - Annals of Biomedical …, 2020 - Springer
Knee osteoarthritis (OA) is a painful joint disease, causing disabilities in daily activities.
However, there is no known cure for OA, and the best treatment strategy might be …

Accuracy of 3D cartilage models generated from MR images is dependent on cartilage thickness: laser scanner based validation of in vivo cartilage

S Koo, NJ Giori, GE Gold, CO Dyrby, TP Andriacchi - 2009 - asmedigitalcollection.asme.org
Cartilage morphology change is an important biomarker for the progression of osteoarthritis.
The purpose of this study was to assess the accuracy of in vivo cartilage thickness …

[HTML][HTML] Quantification of cartilage loss in local regions of knee joints using semi-automated segmentation software: analysis of longitudinal data from the Osteoarthritis …

T Iranpour-Boroujeni, A Watanabe, R Bashtar… - Osteoarthritis and …, 2011 - Elsevier
INTRODUCTION: Quantitative cartilage morphometry is a valuable tool to assess
osteoarthritis (OA) progression. Current methodologies generally evaluate cartilage …